Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning

Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning, Willis, Rachel M, Grimm, Julius, Stanek, Frantis̆ek, Edme, Pascal, Fichtner, Andreas, Lipovsky, Bradley, Paitz, Patrick, Walter, Fabian, Siegfried, Matthew R, Martin, Eileen R

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Publication Details

Journal
Machine Learning Earth
Published
2026-01-13
DOI
https://doi.org/10.1088/3049-4753/ae375b
Primary Topic
Advanced Frequency and Time Standards
Type
article
Field-Weighted Citation Impact
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article

Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning

Pascal Edme, František Staněk, Andreas Fichtner, Fabian Walter et al.
Machine Learning Earth
Advanced Frequency and Time Standards
article

Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning

Pascal Edme, František Staněk, Andreas Fichtner, Fabian Walter, Rachel Willis, Bradley Lipovsky, Matthew R Siegfried, Patrick Paitz, Julius Grimm, Eileen R Martin
article en

Abstract

Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning, Willis, Rachel M, Grimm, Julius, Stanek, Frantis̆ek, Edme, Pascal, Fichtner, Andreas, Lipovsky, Bradley, Paitz, Patrick, Walter, Fabian, Siegfried, Matthew R, Martin, Eileen R

Machine Learning EarthVol. 2(1)
Colorado School of Mines (US), University of Washington (US), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), ETH Zurich (CH), Institut des Sciences de la Terre (FR), Silixa (United Kingdom) (GB), Université Gustave Eiffel (FR), Université Grenoble Alpes (FR)
Climate action
Openalex Percentile: Top 86%
Advanced Frequency and Time Standards
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Creating a comprehensive cryoseismic catalog at Rhonegletscher: a scalable approach using distributed acoustic sensing and machine learning — Pascal Edme, František Staněk, et al. · Machine Learning Earth (2026) | TGRS Research Map | TGRS